LIBLINEAR is a linear classifier for data with millions of instances and features. It supports L2-regularized logistic regression (LR), L2-loss linear SVM, and L1-loss linear SVM.
Main features of LIBLINEAR include
* Same data format as LIBSVM, our general-purpose SVM solver, and also similar usage
* Multi-class classification: 1) one-vs-the rest, 2) Crammer & Singer
* Cross validation for model selection
* Probability estimates (logistic regression only)
* Weights for unbalanced data
* MATLAB/Octave, Java interfaces
M. Ciaramita, T. Hofmann, und M. Johnson. IJCAI-03, Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence, Acapulco, Mexico, August 9-15, 2003, Seite 817-822. Morgan Kaufmann, (2003)
F. Otto, M. Ring, D. Landes, und A. Hotho. ECCWS2016-Proceedings fo the 15th European Conference on Cyber Warfare and Security, Seite 437. Academic Conferences and publishing limited, (2016)